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An RL-based Approach to Improve Communication Performance and Energy Utilization in Fog-based IoT., , и . WiMob, стр. 324-329. IEEE, (2019)Multi-agent Deep Reinforcement Learning for Zero Energy Communities., и . ISGT Europe, стр. 1-5. IEEE, (2019)Learning run-time compositions of interacting adaptations., и . SEAMS@ICSE, стр. 108-114. ACM, (2020)Adaptive Height Optimization for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach., , , , и . IEEE Access, (2023)Parallel Transfer Learning in Multi-Agent Systems: What, when and how to transfer?, , , и . IJCNN, стр. 1-8. IEEE, (2019)A reinforcement learning approach to improve communication performance and energy utilization in fog-based IoT., , и . CoRR, (2021)Auto-COP: Adaptation generation in Context-oriented Programming using Reinforcement Learning options., и . Inf. Softw. Technol., (декабря 2023)Causal Counterfactuals for Improving the Robustness of Reinforcement Learning., , и . CoRR, (2022)Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points., , и . CoRR, (2021)Heterogeneous Multi-Agent Deep Reinforcement Learning for Traffic Lights Control., и . AICS, том 2259 из CEUR Workshop Proceedings, стр. 2-13. CEUR-WS.org, (2018)